Overview

Dataset statistics

Number of variables158
Number of observations7160
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 MiB
Average record size in memory1.2 KiB

Variable types

BOOL143
NUM13
CAT2

Warnings

surg is highly correlated with procedure and 1 other fieldsHigh correlation
procedure is highly correlated with surg and 1 other fieldsHigh correlation
neoplasia_no is highly correlated with neoplasia__less_than_5yearsHigh correlation
neoplasia__less_than_5years is highly correlated with neoplasia_noHigh correlation
triscupid_valve_repair is highly correlated with triscupid_noHigh correlation
triscupid_no is highly correlated with triscupid_valve_repairHigh correlation
weightofproc_isolated_cabg is highly correlated with procedure and 1 other fieldsHigh correlation
number has 6470 (90.4%) zeros Zeros
angorclasseccs has 5387 (75.2%) zeros Zeros

Reproduction

Analysis started2020-10-01 02:18:21.827476
Analysis finished2020-10-01 02:20:31.206833
Duration2 minutes and 9.38 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

es2
Real number (ℝ≥0)

Distinct4802
Distinct (%)67.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.172159395
Minimum0.49865156
Maximum94.42075474
Zeros0
Zeros (%)0.0%
Memory size55.9 KiB
2020-09-30T23:20:31.340755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.49865156
5-th percentile0.6691633775
Q11.212628256
median2.432048073
Q35.054356684
95-th percentile18.17426679
Maximum94.42075474
Range93.92210318
Interquartile range (IQR)3.841728428

Descriptive statistics

Standard deviation9.079529069
Coefficient of variation (CV)1.75546196
Kurtosis28.79470349
Mean5.172159395
Median Absolute Deviation (MAD)1.481102758
Skewness4.832278421
Sum37032.66127
Variance82.43784811
MonotocityNot monotonic
2020-09-30T23:20:31.557631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.49865156941.3%
 
0.6733049492731.0%
 
0.6691633775490.7%
 
0.8041374276470.7%
 
0.580551453400.6%
 
0.6743124659340.5%
 
0.6820668878340.5%
 
2.755068384310.4%
 
0.5546841114300.4%
 
3.308568087300.4%
 
Other values (4792)669893.5%
 
ValueCountFrequency (%) 
0.49865156941.3%
 
0.501743134380.1%
 
0.513002866390.1%
 
0.527765015880.1%
 
0.53103612641< 0.1%
 
ValueCountFrequency (%) 
94.420754741< 0.1%
 
91.697916111< 0.1%
 
89.310710881< 0.1%
 
85.785110711< 0.1%
 
85.62182521< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
4869 
1
2291 
ValueCountFrequency (%) 
0486968.0%
 
1229132.0%
 
2020-09-30T23:20:31.683774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

agepat
Real number (ℝ≥0)

Distinct77
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.65726257
Minimum18
Maximum94
Zeros0
Zeros (%)0.0%
Memory size55.9 KiB
2020-09-30T23:20:31.821699image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile37
Q155
median65
Q375
95-th percentile83
Maximum94
Range76
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.11531798
Coefficient of variation (CV)0.2217393179
Kurtosis0.1595236355
Mean63.65726257
Median Absolute Deviation (MAD)10
Skewness-0.6632493769
Sum455786
Variance199.2422018
MonotocityNot monotonic
2020-09-30T23:20:32.031574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
622203.1%
 
752203.1%
 
682153.0%
 
662092.9%
 
702062.9%
 
762022.8%
 
672022.8%
 
742022.8%
 
652002.8%
 
611982.8%
 
Other values (67)508671.0%
 
ValueCountFrequency (%) 
1870.1%
 
1980.1%
 
2090.1%
 
2190.1%
 
22180.3%
 
ValueCountFrequency (%) 
941< 0.1%
 
931< 0.1%
 
921< 0.1%
 
9170.1%
 
90110.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
4024 
0
3136 
ValueCountFrequency (%) 
1402456.2%
 
0313643.8%
 
2020-09-30T23:20:32.173495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
3591 
0
3569 
ValueCountFrequency (%) 
1359150.2%
 
0356949.8%
 
2020-09-30T23:20:32.224464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6297 
1
863 
ValueCountFrequency (%) 
0629787.9%
 
186312.1%
 
2020-09-30T23:20:32.274435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

recentmi_a
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6166 
1
994 
ValueCountFrequency (%) 
0616686.1%
 
199413.9%
 
2020-09-30T23:20:32.322409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

number
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1272524071
Minimum0
Maximum5
Zeros6470
Zeros (%)90.4%
Memory size55.9 KiB
2020-09-30T23:20:32.400363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4350660287
Coefficient of variation (CV)3.418921801
Kurtosis21.32680693
Mean0.1272524071
Median Absolute Deviation (MAD)0
Skewness4.195820158
Sum911.1272346
Variance0.1892824493
MonotocityNot monotonic
2020-09-30T23:20:32.529309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
0647090.4%
 
15167.2%
 
21311.8%
 
3370.5%
 
43< 0.1%
 
52< 0.1%
 
0.12723463691< 0.1%
 
ValueCountFrequency (%) 
0647090.4%
 
0.12723463691< 0.1%
 
15167.2%
 
21311.8%
 
3370.5%
 
ValueCountFrequency (%) 
52< 0.1%
 
43< 0.1%
 
3370.5%
 
21311.8%
 
15167.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6034 
1
1126 
ValueCountFrequency (%) 
0603484.3%
 
1112615.7%
 
2020-09-30T23:20:32.631230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6936 
1
 
224
ValueCountFrequency (%) 
0693696.9%
 
12243.1%
 
2020-09-30T23:20:32.686219image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6948 
1
 
212
ValueCountFrequency (%) 
0694897.0%
 
12123.0%
 
2020-09-30T23:20:32.740191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

ulcer
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6851 
1
 
309
ValueCountFrequency (%) 
0685195.7%
 
13094.3%
 
2020-09-30T23:20:32.795156image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7024 
1
 
136
ValueCountFrequency (%) 
0702498.1%
 
11361.9%
 
2020-09-30T23:20:32.846127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7089 
1
 
71
ValueCountFrequency (%) 
0708999.0%
 
1711.0%
 
2020-09-30T23:20:32.897078image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

weight
Real number (ℝ≥0)

Distinct104
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.41323834
Minimum32
Maximum157
Zeros0
Zeros (%)0.0%
Memory size55.9 KiB
2020-09-30T23:20:33.005036image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile52
Q165
median75
Q385
95-th percentile101
Maximum157
Range125
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.00789338
Coefficient of variation (CV)0.1990087379
Kurtosis0.5612346099
Mean75.41323834
Median Absolute Deviation (MAD)10
Skewness0.4647559722
Sum539958.7865
Variance225.2368638
MonotocityNot monotonic
2020-09-30T23:20:33.198906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
704005.6%
 
803955.5%
 
753054.3%
 
602363.3%
 
652343.3%
 
852112.9%
 
782022.8%
 
901942.7%
 
721942.7%
 
681872.6%
 
Other values (94)460264.3%
 
ValueCountFrequency (%) 
321< 0.1%
 
341< 0.1%
 
352< 0.1%
 
362< 0.1%
 
372< 0.1%
 
ValueCountFrequency (%) 
1571< 0.1%
 
1551< 0.1%
 
1402< 0.1%
 
1362< 0.1%
 
1332< 0.1%
 

height
Real number (ℝ≥0)

Distinct66
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.4405544
Minimum135
Maximum205
Zeros0
Zeros (%)0.0%
Memory size55.9 KiB
2020-09-30T23:20:33.389796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum135
5-th percentile153
Q1162
median169
Q3175
95-th percentile183
Maximum205
Range70
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.442042055
Coefficient of variation (CV)0.05605563393
Kurtosis0.04720404379
Mean168.4405544
Median Absolute Deviation (MAD)6
Skewness-0.001923729444
Sum1206034.369
Variance89.15215818
MonotocityNot monotonic
2020-09-30T23:20:33.583687image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1706348.9%
 
1604626.5%
 
1654496.3%
 
1753855.4%
 
1803474.8%
 
1723124.4%
 
1682834.0%
 
1732693.8%
 
1762313.2%
 
1692263.2%
 
Other values (56)356249.7%
 
ValueCountFrequency (%) 
1352< 0.1%
 
140120.2%
 
14140.1%
 
14260.1%
 
1432< 0.1%
 
ValueCountFrequency (%) 
20540.1%
 
2041< 0.1%
 
2021< 0.1%
 
2002< 0.1%
 
1993< 0.1%
 

bmi
Real number (ℝ≥0)

Distinct1934
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.52469675
Minimum11.97954711
Maximum50.21913806
Zeros0
Zeros (%)0.0%
Memory size55.9 KiB
2020-09-30T23:20:33.781572image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11.97954711
5-th percentile19.81361719
Q123.45679012
median26.02461194
Q329.06879615
95-th percentile34.79803646
Maximum50.21913806
Range38.23959094
Interquartile range (IQR)5.612006027

Descriptive statistics

Standard deviation4.60888587
Coefficient of variation (CV)0.173758287
Kurtosis1.195529988
Mean26.52469675
Median Absolute Deviation (MAD)2.799180093
Skewness0.7142305474
Sum189916.8287
Variance21.24182897
MonotocityNot monotonic
2020-09-30T23:20:33.972461image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
24.22145329550.8%
 
25.95155709470.7%
 
27.6816609460.6%
 
23.4375400.6%
 
24.69135802350.5%
 
25.71166208350.5%
 
27.34375340.5%
 
24.48979592330.5%
 
27.54820937290.4%
 
25.390625280.4%
 
Other values (1924)677894.7%
 
ValueCountFrequency (%) 
11.979547111< 0.1%
 
13.427202791< 0.1%
 
13.590449951< 0.1%
 
14.429606161< 0.1%
 
14.605054971< 0.1%
 
ValueCountFrequency (%) 
50.219138061< 0.1%
 
49.60317461< 0.1%
 
48.487836951< 0.1%
 
48.456790121< 0.1%
 
47.839506171< 0.1%
 

nyhaclass
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
3
2789 
4
2161 
1
1538 
2
672 
ValueCountFrequency (%) 
3278939.0%
 
4216130.2%
 
1153821.5%
 
26729.4%
 
2020-09-30T23:20:34.150360image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-09-30T23:20:34.236330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-09-30T23:20:34.346249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

angorclasseccs
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5675977654
Minimum0
Maximum4
Zeros5387
Zeros (%)75.2%
Memory size55.9 KiB
2020-09-30T23:20:34.478172image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.051361716
Coefficient of variation (CV)1.852300662
Kurtosis1.065523578
Mean0.5675977654
Median Absolute Deviation (MAD)0
Skewness1.56780124
Sum4064
Variance1.105361459
MonotocityNot monotonic
2020-09-30T23:20:34.602121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
0538775.2%
 
2100214.0%
 
35027.0%
 
11742.4%
 
4951.3%
 
ValueCountFrequency (%) 
0538775.2%
 
11742.4%
 
2100214.0%
 
35027.0%
 
4951.3%
 
ValueCountFrequency (%) 
4951.3%
 
35027.0%
 
2100214.0%
 
11742.4%
 
0538775.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6781 
1
 
379
ValueCountFrequency (%) 
0678194.7%
 
13795.3%
 
2020-09-30T23:20:34.703043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6839 
1
 
321
ValueCountFrequency (%) 
0683995.5%
 
13214.5%
 
2020-09-30T23:20:34.752015image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6942 
1
 
218
ValueCountFrequency (%) 
0694297.0%
 
12183.0%
 
2020-09-30T23:20:34.804987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

creatinine
Real number (ℝ≥0)

Distinct319
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.8511706
Minimum35
Maximum999
Zeros0
Zeros (%)0.0%
Memory size55.9 KiB
2020-09-30T23:20:34.934910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile59
Q175
median88
Q3106
95-th percentile167
Maximum999
Range964
Interquartile range (IQR)31

Descriptive statistics

Standard deviation65.60877409
Coefficient of variation (CV)0.6505504466
Kurtosis70.10723991
Mean100.8511706
Median Absolute Deviation (MAD)15
Skewness7.145745288
Sum722094.3817
Variance4304.511238
MonotocityNot monotonic
2020-09-30T23:20:35.290587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
851502.1%
 
761492.1%
 
881492.1%
 
801472.1%
 
751442.0%
 
771422.0%
 
821381.9%
 
891371.9%
 
861361.9%
 
781351.9%
 
Other values (309)573380.1%
 
ValueCountFrequency (%) 
3540.1%
 
372< 0.1%
 
381< 0.1%
 
392< 0.1%
 
401< 0.1%
 
ValueCountFrequency (%) 
99940.1%
 
9981< 0.1%
 
9901< 0.1%
 
9521< 0.1%
 
9491< 0.1%
 

lvef
Real number (ℝ≥0)

Distinct73
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.82437087
Minimum10
Maximum89
Zeros0
Zeros (%)0.0%
Memory size55.9 KiB
2020-09-30T23:20:35.522454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile35
Q150
median60
Q366
95-th percentile75
Maximum89
Range79
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.97766587
Coefficient of variation (CV)0.2071387148
Kurtosis0.4715618029
Mean57.82437087
Median Absolute Deviation (MAD)7
Skewness-0.6577950151
Sum414022.4954
Variance143.4644796
MonotocityNot monotonic
2020-09-30T23:20:35.790300image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
60144220.1%
 
557019.8%
 
706569.2%
 
506318.8%
 
654406.1%
 
453474.8%
 
402413.4%
 
351682.3%
 
301532.1%
 
681161.6%
 
Other values (63)226531.6%
 
ValueCountFrequency (%) 
101< 0.1%
 
152< 0.1%
 
161< 0.1%
 
171< 0.1%
 
20410.6%
 
ValueCountFrequency (%) 
892< 0.1%
 
883< 0.1%
 
872< 0.1%
 
8650.1%
 
8560.1%
 

papsyst
Real number (ℝ≥0)

Distinct79
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.26595446
Minimum10
Maximum125
Zeros0
Zeros (%)0.0%
Memory size55.9 KiB
2020-09-30T23:20:36.042155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile26
Q140
median42.26595446
Q342.26595446
95-th percentile60
Maximum125
Range115
Interquartile range (IQR)2.265954456

Descriptive statistics

Standard deviation10.06598156
Coefficient of variation (CV)0.2381581509
Kurtosis6.712298828
Mean42.26595446
Median Absolute Deviation (MAD)0
Skewness1.598280518
Sum302624.2339
Variance101.3239848
MonotocityNot monotonic
2020-09-30T23:20:36.407945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
42.26595446360350.3%
 
303605.0%
 
403544.9%
 
353164.4%
 
452813.9%
 
502723.8%
 
252293.2%
 
551442.0%
 
601422.0%
 
70781.1%
 
Other values (69)138119.3%
 
ValueCountFrequency (%) 
101< 0.1%
 
121< 0.1%
 
141< 0.1%
 
1550.1%
 
162< 0.1%
 
ValueCountFrequency (%) 
1251< 0.1%
 
1201< 0.1%
 
1131< 0.1%
 
1102< 0.1%
 
1052< 0.1%
 

lvefisotopic
Real number (ℝ≥0)

Distinct73
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.26565144
Minimum14
Maximum91
Zeros0
Zeros (%)0.0%
Memory size55.9 KiB
2020-09-30T23:20:37.233441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile55.26565144
Q155.26565144
median55.26565144
Q355.26565144
95-th percentile55.26565144
Maximum91
Range77
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.393408514
Coefficient of variation (CV)0.07949618615
Kurtosis28.66663966
Mean55.26565144
Median Absolute Deviation (MAD)0
Skewness-1.399613373
Sum395702.0643
Variance19.30203837
MonotocityNot monotonic
2020-09-30T23:20:37.667194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
55.26565144656991.7%
 
60320.4%
 
55310.4%
 
65270.4%
 
50270.4%
 
70190.3%
 
64190.3%
 
40190.3%
 
69160.2%
 
45150.2%
 
Other values (63)3865.4%
 
ValueCountFrequency (%) 
141< 0.1%
 
152< 0.1%
 
181< 0.1%
 
192< 0.1%
 
202< 0.1%
 
ValueCountFrequency (%) 
911< 0.1%
 
871< 0.1%
 
853< 0.1%
 
841< 0.1%
 
831< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
4124 
0
3036 
ValueCountFrequency (%) 
1412457.6%
 
0303642.4%
 
2020-09-30T23:20:37.993006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6643 
1
 
517
ValueCountFrequency (%) 
0664392.8%
 
15177.2%
 
2020-09-30T23:20:38.139922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

tricuspid
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6434 
1
726 
ValueCountFrequency (%) 
0643489.9%
 
172610.1%
 
2020-09-30T23:20:38.317819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7070 
1
 
90
ValueCountFrequency (%) 
0707098.7%
 
1901.3%
 
2020-09-30T23:20:38.536702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

urgency
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6751 
1
 
409
ValueCountFrequency (%) 
0675194.3%
 
14095.7%
 
2020-09-30T23:20:38.626368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

cabg
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
3738 
1
3422 
ValueCountFrequency (%) 
0373852.2%
 
1342247.8%
 
2020-09-30T23:20:38.710320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6754 
1
 
406
ValueCountFrequency (%) 
0675494.3%
 
14065.7%
 
2020-09-30T23:20:38.842243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

aa
Real number (ℝ≥0)

Distinct36
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.465782123
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Memory size55.9 KiB
2020-09-30T23:20:39.107661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median7
Q317
95-th percentile25
Maximum36
Range35
Interquartile range (IQR)16

Descriptive statistics

Standard deviation8.628943721
Coefficient of variation (CV)0.9115933167
Kurtosis-0.849319264
Mean9.465782123
Median Absolute Deviation (MAD)6
Skewness0.6291229964
Sum67775
Variance74.45866973
MonotocityNot monotonic
2020-09-30T23:20:39.324537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
1246034.4%
 
42203.1%
 
172203.1%
 
102153.0%
 
82092.9%
 
122062.9%
 
182022.8%
 
92022.8%
 
162022.8%
 
72002.8%
 
Other values (26)282439.4%
 
ValueCountFrequency (%) 
1246034.4%
 
21782.5%
 
31982.8%
 
42203.1%
 
51862.6%
 
ValueCountFrequency (%) 
361< 0.1%
 
351< 0.1%
 
341< 0.1%
 
3370.1%
 
32110.2%
 

mi
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
5703 
1
1457 
ValueCountFrequency (%) 
0570379.7%
 
1145720.3%
 
2020-09-30T23:20:39.544414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6941 
1
 
219
ValueCountFrequency (%) 
0694196.9%
 
12193.1%
 
2020-09-30T23:20:39.645354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

ua
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7065 
1
 
95
ValueCountFrequency (%) 
0706598.7%
 
1951.3%
 
2020-09-30T23:20:39.741298image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6827 
1
 
333
ValueCountFrequency (%) 
0682795.3%
 
13334.7%
 
2020-09-30T23:20:39.792268image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

lv1
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7027 
1
 
133
ValueCountFrequency (%) 
0702798.1%
 
11331.9%
 
2020-09-30T23:20:39.869245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

lv2
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6008 
1
1152 
ValueCountFrequency (%) 
0600883.9%
 
1115216.1%
 
2020-09-30T23:20:39.932191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

procedure
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
4512 
0
2648 
ValueCountFrequency (%) 
1451263.0%
 
0264837.0%
 
2020-09-30T23:20:40.024135image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6595 
1
 
565
ValueCountFrequency (%) 
0659592.1%
 
15657.9%
 
2020-09-30T23:20:40.074109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

clearance
Real number (ℝ≥0)

Distinct6504
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.18838315
Minimum5.551
Maximum262.728
Zeros0
Zeros (%)0.0%
Memory size55.9 KiB
2020-09-30T23:20:40.190042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5.551
5-th percentile30.88606047
Q154.43321646
median73.90337954
Q396.06110039
95-th percentile134.8787852
Maximum262.728
Range257.177
Interquartile range (IQR)41.62788392

Descriptive statistics

Standard deviation32.28511673
Coefficient of variation (CV)0.4182639331
Kurtosis1.16818266
Mean77.18838315
Median Absolute Deviation (MAD)20.72208338
Skewness0.7246150068
Sum552668.8234
Variance1042.328762
MonotocityNot monotonic
2020-09-30T23:20:40.429903image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
77.18585061310.4%
 
88.56110.2%
 
92.25110.2%
 
108.24100.1%
 
103.3290.1%
 
98.480.1%
 
94.7180.1%
 
102.0960.1%
 
110.760.1%
 
46.860.1%
 
Other values (6494)705498.5%
 
ValueCountFrequency (%) 
5.5511< 0.1%
 
5.857555111< 0.1%
 
5.8585308061< 0.1%
 
5.9394594591< 0.1%
 
6.0603141361< 0.1%
 
ValueCountFrequency (%) 
262.7281< 0.1%
 
259.80612241< 0.1%
 
248.461< 0.1%
 
247.82222221< 0.1%
 
239.08857141< 0.1%
 

surg
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
4134 
0
2648 
2
 
378
ValueCountFrequency (%) 
1413457.7%
 
0264837.0%
 
23785.3%
 
2020-09-30T23:20:40.610803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-09-30T23:20:40.708763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-09-30T23:20:40.809706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6044 
1
1116 
ValueCountFrequency (%) 
0604484.4%
 
1111615.6%
 
2020-09-30T23:20:40.893637image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

smoker_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
3680 
1
3480 
ValueCountFrequency (%) 
0368051.4%
 
1348048.6%
 
2020-09-30T23:20:40.943608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
4626 
1
2534 
ValueCountFrequency (%) 
0462664.6%
 
1253435.4%
 
2020-09-30T23:20:41.005573image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7130 
1
 
30
ValueCountFrequency (%) 
0713099.6%
 
1300.4%
 
2020-09-30T23:20:41.053545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
5348 
0
1812 
ValueCountFrequency (%) 
1534874.7%
 
0181225.3%
 
2020-09-30T23:20:41.100518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
5913 
1
1247 
ValueCountFrequency (%) 
0591382.6%
 
1124717.4%
 
2020-09-30T23:20:41.147492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
4424 
0
2736 
ValueCountFrequency (%) 
1442461.8%
 
0273638.2%
 
2020-09-30T23:20:41.197463image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6425 
1
735 
ValueCountFrequency (%) 
0642589.7%
 
173510.3%
 
2020-09-30T23:20:41.266424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
5881 
1
1279 
ValueCountFrequency (%) 
0588182.1%
 
1127917.9%
 
2020-09-30T23:20:41.328390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6438 
1
722 
ValueCountFrequency (%) 
0643889.9%
 
172210.1%
 
2020-09-30T23:20:41.390352image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
6081 
0
1079 
ValueCountFrequency (%) 
1608184.9%
 
0107915.1%
 
2020-09-30T23:20:41.450318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6555 
1
 
605
ValueCountFrequency (%) 
0655591.6%
 
16058.4%
 
2020-09-30T23:20:41.514301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6686 
1
 
474
ValueCountFrequency (%) 
0668693.4%
 
14746.6%
 
2020-09-30T23:20:41.564254image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7092 
1
 
68
ValueCountFrequency (%) 
0709299.1%
 
1680.9%
 
2020-09-30T23:20:41.614224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7130 
1
 
30
ValueCountFrequency (%) 
0713099.6%
 
1300.4%
 
2020-09-30T23:20:41.663702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
6435 
0
725 
ValueCountFrequency (%) 
1643589.9%
 
072510.1%
 
2020-09-30T23:20:41.716669image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7107 
1
 
53
ValueCountFrequency (%) 
0710799.3%
 
1530.7%
 
2020-09-30T23:20:41.769639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6586 
1
 
574
ValueCountFrequency (%) 
0658692.0%
 
15748.0%
 
2020-09-30T23:20:41.823610image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6779 
1
 
381
ValueCountFrequency (%) 
0677994.7%
 
13815.3%
 
2020-09-30T23:20:41.878578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6823 
1
 
337
ValueCountFrequency (%) 
0682395.3%
 
13374.7%
 
2020-09-30T23:20:41.924550image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
6178 
0
982 
ValueCountFrequency (%) 
1617886.3%
 
098213.7%
 
2020-09-30T23:20:41.972542image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6896 
1
 
264
ValueCountFrequency (%) 
0689696.3%
 
12643.7%
 
2020-09-30T23:20:42.018516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
6738 
0
 
422
ValueCountFrequency (%) 
1673894.1%
 
04225.9%
 
2020-09-30T23:20:42.068467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7059 
1
 
101
ValueCountFrequency (%) 
0705998.6%
 
11011.4%
 
2020-09-30T23:20:42.118440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6901 
1
 
259
ValueCountFrequency (%) 
0690196.4%
 
12593.6%
 
2020-09-30T23:20:42.164412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7145 
1
 
15
ValueCountFrequency (%) 
0714599.8%
 
1150.2%
 
2020-09-30T23:20:42.211385image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7113 
1
 
47
ValueCountFrequency (%) 
0711399.3%
 
1470.7%
 
2020-09-30T23:20:42.257359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7098 
1
 
62
ValueCountFrequency (%) 
0709899.1%
 
1620.9%
 
2020-09-30T23:20:42.303333image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6819 
1
 
341
ValueCountFrequency (%) 
0681995.2%
 
13414.8%
 
2020-09-30T23:20:42.352326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
6558 
0
 
602
ValueCountFrequency (%) 
1655891.6%
 
06028.4%
 
2020-09-30T23:20:42.401277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6961 
1
 
199
ValueCountFrequency (%) 
0696197.2%
 
11992.8%
 
2020-09-30T23:20:42.451267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

copd_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
6466 
0
694 
ValueCountFrequency (%) 
1646690.3%
 
06949.7%
 
2020-09-30T23:20:42.500239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6878 
1
 
282
ValueCountFrequency (%) 
0687896.1%
 
12823.9%
 
2020-09-30T23:20:42.546214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6748 
1
 
412
ValueCountFrequency (%) 
0674894.2%
 
14125.8%
 
2020-09-30T23:20:42.597165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

neoplasia__less_than_5years
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6691 
1
 
469
ValueCountFrequency (%) 
0669193.4%
 
14696.6%
 
2020-09-30T23:20:42.647137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7140 
1
 
20
ValueCountFrequency (%) 
0714099.7%
 
1200.3%
 
2020-09-30T23:20:42.694128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

neoplasia_no
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
6595 
0
 
565
ValueCountFrequency (%) 
1659592.1%
 
05657.9%
 
2020-09-30T23:20:42.745100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7084 
1
 
76
ValueCountFrequency (%) 
0708498.9%
 
1761.1%
 
2020-09-30T23:20:42.839026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
7085 
0
 
75
ValueCountFrequency (%) 
1708599.0%
 
0751.0%
 
2020-09-30T23:20:42.954979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7130 
1
 
30
ValueCountFrequency (%) 
0713099.6%
 
1300.4%
 
2020-09-30T23:20:43.063897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7115 
1
 
45
ValueCountFrequency (%) 
0711599.4%
 
1450.6%
 
2020-09-30T23:20:43.171835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
6310 
0
850 
ValueCountFrequency (%) 
1631088.1%
 
085011.9%
 
2020-09-30T23:20:43.283771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
5417 
1
1743 
ValueCountFrequency (%) 
0541775.7%
 
1174324.3%
 
2020-09-30T23:20:43.392710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6646 
1
 
514
ValueCountFrequency (%) 
0664692.8%
 
15147.2%
 
2020-09-30T23:20:43.447677image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7113 
1
 
47
ValueCountFrequency (%) 
0711399.3%
 
1470.7%
 
2020-09-30T23:20:43.495650image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6799 
1
 
361
ValueCountFrequency (%) 
0679995.0%
 
13615.0%
 
2020-09-30T23:20:43.540643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
3673 
0
3487 
ValueCountFrequency (%) 
1367351.3%
 
0348748.7%
 
2020-09-30T23:20:43.590595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6366 
1
794 
ValueCountFrequency (%) 
0636688.9%
 
179411.1%
 
2020-09-30T23:20:43.647562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7132 
1
 
28
ValueCountFrequency (%) 
0713299.6%
 
1280.4%
 
2020-09-30T23:20:43.694536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6908 
1
 
252
ValueCountFrequency (%) 
0690896.5%
 
12523.5%
 
2020-09-30T23:20:43.744529image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
5015 
1
2145 
ValueCountFrequency (%) 
0501570.0%
 
1214530.0%
 
2020-09-30T23:20:43.790482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6797 
1
 
363
ValueCountFrequency (%) 
0679794.9%
 
13635.1%
 
2020-09-30T23:20:43.836473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7151 
1
 
9
ValueCountFrequency (%) 
0715199.9%
 
190.1%
 
2020-09-30T23:20:43.884426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
3612 
1
3548 
ValueCountFrequency (%) 
0361250.4%
 
1354849.6%
 
2020-09-30T23:20:43.984371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6977 
1
 
183
ValueCountFrequency (%) 
0697797.4%
 
11832.6%
 
2020-09-30T23:20:44.115296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6500 
1
660 
ValueCountFrequency (%) 
0650090.8%
 
16609.2%
 
2020-09-30T23:20:44.236228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7048 
1
 
112
ValueCountFrequency (%) 
0704898.4%
 
11121.6%
 
2020-09-30T23:20:44.371148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6998 
1
 
162
ValueCountFrequency (%) 
0699897.7%
 
11622.3%
 
2020-09-30T23:20:44.504072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7132 
1
 
28
ValueCountFrequency (%) 
0713299.6%
 
1280.4%
 
2020-09-30T23:20:44.600019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7085 
1
 
75
ValueCountFrequency (%) 
0708599.0%
 
1751.0%
 
2020-09-30T23:20:44.697960image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7037 
1
 
123
ValueCountFrequency (%) 
0703798.3%
 
11231.7%
 
2020-09-30T23:20:44.800901image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

redo_a_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
6602 
0
 
558
ValueCountFrequency (%) 
1660292.2%
 
05587.8%
 
2020-09-30T23:20:44.913855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7108 
1
 
52
ValueCountFrequency (%) 
0710899.3%
 
1520.7%
 
2020-09-30T23:20:45.052757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

redo_a_yes
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7154 
1
 
6
ValueCountFrequency (%) 
0715499.9%
 
160.1%
 
2020-09-30T23:20:45.112722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6713 
1
 
447
ValueCountFrequency (%) 
0671393.8%
 
14476.2%
 
2020-09-30T23:20:45.931255image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7010 
1
 
150
ValueCountFrequency (%) 
0701097.9%
 
11502.1%
 
2020-09-30T23:20:46.034197image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
6563 
0
 
597
ValueCountFrequency (%) 
1656391.7%
 
05978.3%
 
2020-09-30T23:20:46.138159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7159 
1
 
1
ValueCountFrequency (%) 
07159> 99.9%
 
11< 0.1%
 
2020-09-30T23:20:46.221088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7156 
1
 
4
ValueCountFrequency (%) 
0715699.9%
 
140.1%
 
2020-09-30T23:20:46.276056image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

others_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
6989 
0
 
171
ValueCountFrequency (%) 
1698997.6%
 
01712.4%
 
2020-09-30T23:20:46.332043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7075 
1
 
85
ValueCountFrequency (%) 
0707598.8%
 
1851.2%
 
2020-09-30T23:20:46.381994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7142 
1
 
18
ValueCountFrequency (%) 
0714299.7%
 
1180.3%
 
2020-09-30T23:20:46.469947image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7159 
1
 
1
ValueCountFrequency (%) 
07159> 99.9%
 
11< 0.1%
 
2020-09-30T23:20:46.584878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7098 
1
 
62
ValueCountFrequency (%) 
0709899.1%
 
1620.9%
 
2020-09-30T23:20:46.683821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7159 
1
 
1
ValueCountFrequency (%) 
07159> 99.9%
 
11< 0.1%
 
2020-09-30T23:20:46.781765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
5432 
1
1728 
ValueCountFrequency (%) 
0543275.9%
 
1172824.1%
 
2020-09-30T23:20:46.913691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7145 
1
 
15
ValueCountFrequency (%) 
0714599.8%
 
1150.2%
 
2020-09-30T23:20:47.031625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6163 
1
997 
ValueCountFrequency (%) 
0616386.1%
 
199713.9%
 
2020-09-30T23:20:47.079595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

aortic_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
4400 
0
2760 
ValueCountFrequency (%) 
1440061.5%
 
0276038.5%
 
2020-09-30T23:20:47.128567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7141 
1
 
19
ValueCountFrequency (%) 
0714199.7%
 
1190.3%
 
2020-09-30T23:20:47.217515image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6604 
1
 
556
ValueCountFrequency (%) 
0660492.2%
 
15567.8%
 
2020-09-30T23:20:47.318458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6498 
1
662 
ValueCountFrequency (%) 
0649890.8%
 
16629.2%
 
2020-09-30T23:20:47.445396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

mitral_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
5464 
0
1696 
ValueCountFrequency (%) 
1546476.3%
 
0169623.7%
 
2020-09-30T23:20:47.550327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6682 
1
 
478
ValueCountFrequency (%) 
0668293.3%
 
14786.7%
 
2020-09-30T23:20:47.652267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7085 
1
 
75
ValueCountFrequency (%) 
0708599.0%
 
1751.0%
 
2020-09-30T23:20:47.749214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7157 
1
 
3
ValueCountFrequency (%) 
07157> 99.9%
 
13< 0.1%
 
2020-09-30T23:20:47.811175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7157 
1
 
3
ValueCountFrequency (%) 
07157> 99.9%
 
13< 0.1%
 
2020-09-30T23:20:47.862146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

triscupid_no
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
6313 
0
847 
ValueCountFrequency (%) 
1631388.2%
 
084711.8%
 
2020-09-30T23:20:47.913137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

triscupid_valve_repair
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6394 
1
766 
ValueCountFrequency (%) 
0639489.3%
 
176610.7%
 
2020-09-30T23:20:47.962109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7111 
1
 
49
ValueCountFrequency (%) 
0711199.3%
 
1490.7%
 
2020-09-30T23:20:48.009082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7004 
1
 
156
ValueCountFrequency (%) 
0700497.8%
 
11562.2%
 
2020-09-30T23:20:48.057055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7158 
1
 
2
ValueCountFrequency (%) 
07158> 99.9%
 
12< 0.1%
 
2020-09-30T23:20:48.103028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7071 
1
 
89
ValueCountFrequency (%) 
0707198.8%
 
1891.2%
 
2020-09-30T23:20:48.149002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7155 
1
 
5
ValueCountFrequency (%) 
0715599.9%
 
150.1%
 
2020-09-30T23:20:48.194955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7155 
1
 
5
ValueCountFrequency (%) 
0715599.9%
 
150.1%
 
2020-09-30T23:20:48.240930image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7058 
1
 
102
ValueCountFrequency (%) 
0705898.6%
 
11021.4%
 
2020-09-30T23:20:48.285905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7086 
1
 
74
ValueCountFrequency (%) 
0708699.0%
 
1741.0%
 
2020-09-30T23:20:48.331897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7159 
1
 
1
ValueCountFrequency (%) 
07159> 99.9%
 
11< 0.1%
 
2020-09-30T23:20:48.381848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7155 
1
 
5
ValueCountFrequency (%) 
0715599.9%
 
150.1%
 
2020-09-30T23:20:48.438835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7159 
1
 
1
ValueCountFrequency (%) 
07159> 99.9%
 
11< 0.1%
 
2020-09-30T23:20:48.485791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7159 
1
 
1
ValueCountFrequency (%) 
07159> 99.9%
 
11< 0.1%
 
2020-09-30T23:20:48.537778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7159 
1
 
1
ValueCountFrequency (%) 
07159> 99.9%
 
11< 0.1%
 
2020-09-30T23:20:48.584752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6950 
1
 
210
ValueCountFrequency (%) 
0695097.1%
 
12102.9%
 
2020-09-30T23:20:48.629729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
6459 
0
701 
ValueCountFrequency (%) 
1645990.2%
 
07019.8%
 
2020-09-30T23:20:48.675680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7159 
1
 
1
ValueCountFrequency (%) 
07159> 99.9%
 
11< 0.1%
 
2020-09-30T23:20:48.720674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7130 
1
 
30
ValueCountFrequency (%) 
0713099.6%
 
1300.4%
 
2020-09-30T23:20:48.766651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7133 
1
 
27
ValueCountFrequency (%) 
0713399.6%
 
1270.4%
 
2020-09-30T23:20:48.811622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
1
6822 
0
 
338
ValueCountFrequency (%) 
1682295.3%
 
03384.7%
 
2020-09-30T23:20:48.859595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6945 
1
 
215
ValueCountFrequency (%) 
0694597.0%
 
12153.0%
 
2020-09-30T23:20:48.904569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
7158 
1
 
2
ValueCountFrequency (%) 
07158> 99.9%
 
12< 0.1%
 
2020-09-30T23:20:48.960536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
5633 
1
1527 
ValueCountFrequency (%) 
0563378.7%
 
1152721.3%
 
2020-09-30T23:20:49.007489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
6470 
1
690 
ValueCountFrequency (%) 
0647090.4%
 
16909.6%
 
2020-09-30T23:20:49.054483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

weightofproc_isolated_cabg
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
4512 
1
2648 
ValueCountFrequency (%) 
0451263.0%
 
1264837.0%
 
2020-09-30T23:20:49.099458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.9 KiB
0
4865 
1
2295 
ValueCountFrequency (%) 
0486567.9%
 
1229532.1%
 
2020-09-30T23:20:49.146430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Interactions

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2020-09-30T23:19:35.309498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-09-30T23:19:36.018090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-09-30T23:19:37.297356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-09-30T23:19:46.008364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-09-30T23:19:46.164292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-09-30T23:19:46.324182image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-09-30T23:19:46.645998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-09-30T23:19:47.131738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-09-30T23:19:47.586478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-09-30T23:19:47.745387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-09-30T23:19:47.914269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-09-30T23:19:48.091188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-09-30T23:19:48.295052image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-09-30T23:19:52.589591image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-09-30T23:19:52.890437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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Correlations

2020-09-30T23:20:49.622157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-09-30T23:20:55.336881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-09-30T23:21:01.314436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-09-30T23:21:09.276871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2020-09-30T23:21:16.809470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

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2020-09-30T23:20:26.287023image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

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Last rows

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